Triple
T23040929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lums Pond State Park |
E573732
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object |
Lums Pond
Lums Pond is a large freshwater pond in Delaware known for anchoring the recreational activities of Lums Pond State Park, including boating, fishing, and wildlife viewing.
|
E1568746
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lums Pond | Statement: [Lums Pond State Park, hasBodyOfWater, Lums Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lums Pond Context triple: [Lums Pond State Park, hasBodyOfWater, Lums Pond]
-
A.
Lees Pond
Lees Pond is a small freshwater pond located in the town of Moultonborough in Carroll County, New Hampshire.
-
B.
Tivoli Pond
Tivoli Pond is a scenic ornamental lake within Ljubljana’s historic Tivoli Park, known for its tranquil setting, wildlife, and recreational appeal.
-
C.
Pillings Pond
Pillings Pond is a small recreational and scenic pond located in the town of Lynnfield, Massachusetts.
-
D.
Pomps Pond
Pomps Pond is a recreational lake and park area in Andover, Massachusetts, known for swimming, boating, and outdoor activities.
-
E.
Roslyn Pond
Roslyn Pond is a small body of water in Roslyn, New York, forming the scenic centerpiece of the surrounding Roslyn Pond Park.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lums Pond Triple: [Lums Pond State Park, hasBodyOfWater, Lums Pond]
Generated description
Lums Pond is a large freshwater pond in Delaware known for anchoring the recreational activities of Lums Pond State Park, including boating, fishing, and wildlife viewing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lums Pond Target entity description: Lums Pond is a large freshwater pond in Delaware known for anchoring the recreational activities of Lums Pond State Park, including boating, fishing, and wildlife viewing.
-
A.
Lees Pond
Lees Pond is a small freshwater pond located in the town of Moultonborough in Carroll County, New Hampshire.
-
B.
Tivoli Pond
Tivoli Pond is a scenic ornamental lake within Ljubljana’s historic Tivoli Park, known for its tranquil setting, wildlife, and recreational appeal.
-
C.
Pillings Pond
Pillings Pond is a small recreational and scenic pond located in the town of Lynnfield, Massachusetts.
-
D.
Pomps Pond
Pomps Pond is a recreational lake and park area in Andover, Massachusetts, known for swimming, boating, and outdoor activities.
-
E.
Roslyn Pond
Roslyn Pond is a small body of water in Roslyn, New York, forming the scenic centerpiece of the surrounding Roslyn Pond Park.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18513fc54819096d761a0be75b774 |
completed | April 29, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0ad4129c81908c33a31c952c7d0f |
completed | May 19, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_6a0c0e9857ac8190a06f616ffe2dff34 |
completed | May 19, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0ee7c4708190934b494e35f57ed5 |
completed | May 19, 2026, 7:19 a.m. |
Created at: April 17, 2026, 3:53 p.m.